Fuzzy-twin proximal SVM kernel-based deep learning neural network model for hyperspectral image classification
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-022-07517-6.pdf
Reference88 articles.
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2. Rojas-Moraleda R, Valous NA, Gowen A, Esquerre C, Härtel S, Salinas L, O’donnell C (2017) A frame-based ANN for classification of hyperspectral images: assessment of mechanical damage in mushrooms. Neural Comput Appl 28(1):969–981
3. Shi C, Pun CM (2017) 3D multi-resolution wavelet convolutional neural networks for hyperspectral image classification. Info Sci 420:49–65
4. Chen Y, Zhu L, Ghamisi P, Jia X, Li G, Tang L (2017) Hyperspectral images classification with Gabor filtering and convolutional neural network. IEEE Geosci Remote Sens Lett 14(12):2355–2359
5. Cao F, Yang Z, Ren J, Ling WK, Zhao H, Marshall S (2017) Extreme sparse multinomial logistic regression: a fast and robust framework for hyperspectral image classification. Remote Sens 9(12):1255
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